A method of estimating lag between brain areas based on windowed harmonic wavelet transform / 生物医学工程学杂志
Journal of Biomedical Engineering
; (6): 1159-1163, 2013.
Article
in Zh
| WPRIM
| ID: wpr-259748
Responsible library:
WPRO
ABSTRACT
Aiming at local field potential, the present paper introduces a method of estimating lag of neuron activities between brain areas based on windowed Harmonic wavelet transform (WHWT). Firstly, the WHWT of signals of two brain areas are calculated. Secondly, the instantaneous amplitude of the signals is calculated and finally, these amplitudes are cross-correlated and the lag at which the cross-correlation peak occurs is determined as the lag of neurons activities. Comparing with amplitude cross-correlation based on Gabor wavelet transform (GWT) or Hilbert transform (HT), this method is more precise and efficient in estimating the directionality and lag.
Full text:
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Index:
WPRIM
Main subject:
Physiology
/
Brain
/
Wavelet Analysis
/
Neurons
Limits:
Humans
Language:
Zh
Journal:
Journal of Biomedical Engineering
Year:
2013
Type:
Article